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NIPS
1998
15 years 7 months ago
Learning from Dyadic Data
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
Thomas Hofmann, Jan Puzicha, Michael I. Jordan
COLING
1994
15 years 7 months ago
Multi-Tape Two-Level Morphology: A Case Study in Semitic Non-linear Morphology
This I)aper presents an implemented multi-tal)e twolevel model capable of describing Semitie non-linear morphology. The computational fl'arnework behind the ettrrcnt work is ...
George Anton Kiraz
JAIR
2011
110views more  JAIR 2011»
15 years 1 months ago
Narrowing the Modeling Gap: A Cluster-Ranking Approach to Coreference Resolution
Traditional learning-based coreference resolvers operate by training the mention-pair model for determining whether two mentions are coreferent or not. Though conceptually simple ...
Altaf Rahman, Vincent Ng
ANLP
1994
80views more  ANLP 1994»
15 years 7 months ago
Improving Language Models by Clustering Training Sentences
Many of the kinds of language model used in speech understanding suffer from imperfect modeling of intra-sentential contextual influences. I argue that this problem can be address...
David M. Carter
ASC
2004
15 years 6 months ago
Soft computing applications in dynamic model identification of polymer extrusion process
This paper proposes the applications of soft computing to deal with the constraints in conventional modelling techniques of the dynamic extrusion process. The proposed technique i...
Leong Ping Tan, Ahmad Lotfi, Eugene Lai, J. B. Hul...